# πŸš— Smart Parking Finder - Technical Specification ## πŸ“‹ Project Overview A responsive web application that helps users find and navigate to the nearest available parking lots using OpenStreetMap and Valhalla Routing Engine with real-time availability and turn-by-turn navigation. ## 🎯 Core Features ### πŸ” Location & Discovery - GPS-based user location detection - Interactive map with nearby parking lots - Real-time availability display - Distance and direction calculation - Smart parking suggestions ### πŸ—ΊοΈ Navigation & Routing - Valhalla-powered route generation - Turn-by-turn directions - Visual route display on map - Estimated arrival time - Alternative route options ### πŸ“Š Parking Information - Name, address, and contact details - Real-time available slots - Pricing per hour - Operating hours - Amenities and features ## πŸ—οΈ System Architecture ``` β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Frontend β”‚ β”‚ Backend API β”‚ β”‚ Database β”‚ β”‚ (Next.js) │◄──►│ (NestJS) │◄──►│ PostgreSQL + β”‚ β”‚ β”‚ β”‚ β”‚ β”‚ PostGIS β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ β”‚ β–Ό β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Valhalla Engine β”‚ β”‚ (Docker) β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` ## πŸ”§ Technology Stack ### Frontend - **Framework**: Next.js 14 with TypeScript - **Map Library**: React Leaflet + OpenStreetMap - **UI Framework**: Tailwind CSS with custom branding - **State Management**: React Query + Zustand - **HTTP Client**: Axios with interceptors - **PWA Support**: Next.js PWA plugin ### Backend - **Framework**: NestJS with TypeScript - **Database ORM**: TypeORM with PostGIS - **Caching**: Redis for route caching - **API Documentation**: Swagger/OpenAPI - **Authentication**: JWT + Passport.js - **Rate Limiting**: Express rate limiter ### Infrastructure - **Routing Engine**: Valhalla (Docker) - **Database**: PostgreSQL 15 + PostGIS 3.3 - **Deployment**: Docker Compose - **Monitoring**: Prometheus + Grafana - **CDN**: CloudFlare for static assets ## πŸ“Š Database Schema ```sql -- Parking lots table CREATE TABLE parking_lots ( id SERIAL PRIMARY KEY, name VARCHAR(255) NOT NULL, address TEXT NOT NULL, location GEOGRAPHY(POINT, 4326) NOT NULL, lat DOUBLE PRECISION NOT NULL, lng DOUBLE PRECISION NOT NULL, hourly_rate DECIMAL(10,2), open_time TIME, close_time TIME, available_slots INTEGER DEFAULT 0, total_slots INTEGER NOT NULL, amenities JSONB DEFAULT '{}', contact_info JSONB DEFAULT '{}', created_at TIMESTAMP DEFAULT NOW(), updated_at TIMESTAMP DEFAULT NOW() ); -- Spatial index for location queries CREATE INDEX idx_parking_lots_location ON parking_lots USING GIST (location); -- Users table (for favorites, history) CREATE TABLE users ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), email VARCHAR(255) UNIQUE, name VARCHAR(255), preferences JSONB DEFAULT '{}', created_at TIMESTAMP DEFAULT NOW() ); -- Parking history CREATE TABLE parking_history ( id SERIAL PRIMARY KEY, user_id UUID REFERENCES users(id), parking_lot_id INTEGER REFERENCES parking_lots(id), visit_date TIMESTAMP DEFAULT NOW(), duration_minutes INTEGER, rating INTEGER CHECK (rating >= 1 AND rating <= 5) ); -- Real-time parking updates CREATE TABLE parking_updates ( id SERIAL PRIMARY KEY, parking_lot_id INTEGER REFERENCES parking_lots(id), available_slots INTEGER NOT NULL, timestamp TIMESTAMP DEFAULT NOW(), source VARCHAR(50) DEFAULT 'sensor' ); ``` ## πŸš€ API Endpoints ### Parking Discovery ```typescript // GET /api/parking/nearby interface NearbyParkingRequest { lat: number; lng: number; radius?: number; // meters, default 4000 maxResults?: number; // default 20 priceRange?: [number, number]; amenities?: string[]; } interface NearbyParkingResponse { parkingLots: ParkingLot[]; userLocation: { lat: number; lng: number }; searchRadius: number; } ``` ### Route Planning ```typescript // POST /api/routing/calculate interface RouteRequest { origin: { lat: number; lng: number }; destination: { lat: number; lng: number }; costing: 'auto' | 'bicycle' | 'pedestrian'; alternatives?: number; } interface RouteResponse { routes: Route[]; summary: { distance: number; // km time: number; // minutes cost: number; // estimated fuel cost }; } ``` ### Real-time Updates ```typescript // WebSocket: /ws/parking-updates interface ParkingUpdate { parkingLotId: number; availableSlots: number; timestamp: string; confidence: number; // 0-1 } ``` ## 🎨 Brand Integration Based on the existing assets in `/assets/`: - **Logo**: Use Logo.png for header branding - **Logo with Slogan**: Use Logo_and_sologan.png for splash screen - **Location Icons**: Integrate Location.png and mini_location.png for map markers ### Color Palette ```css :root { --primary: #E85A4F; /* LACA Red */ --secondary: #D73502; /* Darker Red */ --accent: #8B2635; /* Deep Red */ --success: #22C55E; /* Green for available */ --warning: #F59E0B; /* Amber for limited */ --danger: #EF4444; /* Red for unavailable */ --neutral: #6B7280; /* Gray */ } ``` ## πŸ“± UI/UX Design ### Layout Structure ``` β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Header [Logo] [Search] [Profile] β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ Sidebar β”‚ Map View β”‚ β”‚ - Filters β”‚ - User location β”‚ β”‚ - Parking List β”‚ - Parking markers β”‚ β”‚ - Selected Info β”‚ - Route overlay β”‚ β”‚ - Directions β”‚ - Controls β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` ### Responsive Breakpoints - **Mobile**: < 768px (full-screen map with drawer) - **Tablet**: 768px - 1024px (split view) - **Desktop**: > 1024px (sidebar + map) ## 🐳 Docker Configuration ### Valhalla Setup ```dockerfile # Dockerfile.valhalla FROM ghcr.io/gis-ops/docker-valhalla/valhalla:latest # Copy OSM data COPY ./osm-data/*.pbf /custom_files/ # Configuration COPY valhalla.json /valhalla.json EXPOSE 8002 CMD ["valhalla_service", "/valhalla.json"] ``` ### Docker Compose ```yaml version: '3.8' services: frontend: build: ./frontend ports: - "3000:3000" environment: - NEXT_PUBLIC_API_URL=http://backend:3001 depends_on: - backend backend: build: ./backend ports: - "3001:3001" environment: - DATABASE_URL=postgresql://user:pass@postgres:5432/parking_db - REDIS_URL=redis://redis:6379 - VALHALLA_URL=http://valhalla:8002 depends_on: - postgres - redis - valhalla postgres: image: postgis/postgis:15-3.3 environment: - POSTGRES_DB=parking_db - POSTGRES_USER=user - POSTGRES_PASSWORD=pass volumes: - postgres_data:/var/lib/postgresql/data redis: image: redis:7-alpine ports: - "6379:6379" valhalla: build: context: . dockerfile: Dockerfile.valhalla ports: - "8002:8002" volumes: - ./valhalla-data:/valhalla-data volumes: postgres_data: ``` ## πŸ” Security Considerations ### Frontend Security - Content Security Policy (CSP) - HTTPS enforcement - API key protection - Input sanitization ### Backend Security - Rate limiting per IP - JWT token validation - SQL injection prevention - CORS configuration ### Infrastructure Security - Database encryption at rest - SSL/TLS certificates - Network segmentation - Regular security updates ## πŸ“ˆ Performance Optimization ### Frontend Optimization - Code splitting by routes - Image optimization with Next.js - Service worker for caching - Lazy loading for map components ### Backend Optimization - Database query optimization - Redis caching for frequent requests - Connection pooling - Response compression ### Database Optimization - Spatial indexes for geo queries - Query result caching - Read replicas for scaling - Partitioning for large datasets ## πŸš€ Deployment Strategy ### Development ```bash # Local development setup docker-compose -f docker-compose.dev.yml up -d npm run dev:frontend npm run dev:backend ``` ### Production ```bash # Production deployment docker-compose -f docker-compose.prod.yml up -d ``` ### CI/CD Pipeline 1. **Build**: Docker images for each service 2. **Test**: Unit tests, integration tests, E2E tests 3. **Deploy**: Blue-green deployment strategy 4. **Monitor**: Health checks and performance metrics ## πŸ“Š Monitoring & Analytics ### Application Metrics - Response times - Error rates - User engagement - Route calculation performance ### Business Metrics - Popular parking locations - Peak usage times - User retention - Revenue per parking lot ## πŸ”„ Future Enhancements ### Phase 2 Features - Parking reservations - Payment integration - User reviews and ratings - Push notifications for parking alerts ### Phase 3 Features - AI-powered parking predictions - Electric vehicle charging stations - Multi-language support - Offline mode with cached data ## πŸ“‹ Implementation Timeline ### Week 1-2: Foundation - Project setup and infrastructure - Database schema and migrations - Basic API endpoints ### Week 3-4: Core Features - Map integration with Leaflet - Parking lot display and search - User location detection ### Week 5-6: Navigation - Valhalla integration - Route calculation and display - Turn-by-turn directions ### Week 7-8: Polish - UI/UX improvements - Performance optimization - Testing and bug fixes ### Week 9-10: Deployment - Production setup - CI/CD pipeline - Monitoring and analytics ## 🏁 Success Metrics ### Technical KPIs - Page load time < 2 seconds - Route calculation < 3 seconds - 99.9% uptime - Zero security vulnerabilities ### User Experience KPIs - User retention > 60% - Average session time > 5 minutes - Route accuracy > 95% - User satisfaction score > 4.5/5 This comprehensive specification provides a solid foundation for building a world-class parking finder application with modern web technologies and best practices.